Unit 3
Unit 4
Unit 5
Unit 6/7
Unit 8/9
100

The title of Unit 3 in AP Stats

Collecting data

100

The title of Unit 4 in AP Stats

Probability, Random Variables, and Probability Distributions

100

The title of Unit 5 in AP Stats

Sampling distributions

100

The title of Unit 6 and 7 in AP Stats?

Inference for Categorical Data: Proportions

Inference for Quantitative Data: Means

100

The titles of Units 8 and 9 in AP Stats?

Inference for Categorical Data: Chi-Square

Inference for Quantitative Data: Slopes

200

What is the best way to collect data?

Random sample

200

What is the addition rule? 

The probability of A or B is equal to the probability of A, multiplied by the probability of B, and subtracted by the probability of A and B.

200

What is the central limit theorem?

When you take sufficiently large random samples from any population, the distribution of their sample means will approximate a normal distribution (a bell curve), regardless of the original population's distribution.

200

What is a Type 1 Error?

Occurs in statistics when a researcher incorrectly rejects a true null hypothesis, concluding there is a significant effect or difference when none actually exists.

200

When do you use a Goodness of Fit test?

  • One Categorical Variable: You are analyzing only one group with 2 or more categories (colors of M&Ms, ice cream flavors, or dice rolls).
  • Count Data: Your data is recorded as raw frequency counts (how many fall into each category), not means or percentages.
  • Hypothesized Distribution: You have a specific expected distribution you want to test against
300

What are the four biases when sampling?

Undercoverage, Nonresponse, Response, Voluntary response

300

What are mutually exclusive events?

Mutually exclusive events are two or more outcomes that cannot happen simultaneously in a single trial.

300

How can you tell if a point estimate is unbiased?

An estimator is unbiased if the average of all possible sample estimates equals the true parameter, while a biased estimator systematically deviates from the true parameter.

300

How do you justify a claim about a population mean based on a confidence interval?

Compare the claimed value to the interval's range. If the claimed value falls inside the interval, the claim is plausible. If it falls entirely outside, the claim is not supported by the data at that confidence level.

300

How do you calculate Expected Counts in two-way tables?

Multiply the row total for that specific cell by its column total, and then divide by the overall grand total.

400

What are the four principles of experimental design?

Randomization, Replication, Control, Blocking

400

What are the parameters for a binomial distribution?

Binary outcome - success or fail

Independent - outcome of one trial does not affect the other

N- fixed number of trials

S- Success probability is the same for every trial

400

Which sampling distribution uses quantitative data, and which uses categorical?

The sample mean will use quantitative

The sample proportion will use categorical

400

What is the difference between a parameter and a statistic?

A parameter describes a population, and a statistic describes a sample.

400

How do you test for the slope of a regression model?

Testing the slope of a regression model involves checking if the independent variable has a statistically significant relationship with the dependent variable. This is primarily done using a t-test, where you calculate a t-statistic by dividing your estimated slope coefficient by its standard error.

500

What two questions must you ask before making a statistical inference? 

Was there random selection? Was there random assignment?

500

A fair die is rolled 3 times. The first 2 rolls resulted in 2 fives. What is the probability of not rolling 5 on the next roll?

What happens on the first two rolls does not affect the chance of getting a 5 again. (5/6)

500

If a population has a mean of 100 and a standard dev of 20, drawing samples of size n=16 results in a sampling distribution with what new mean and standard dev?

SD=5

Mean=100

500

What test do you use for a difference in population means?

Use a two-sample t-test

(Or a z-test if the population standard deviation is known.)

500
A local bakery is testing if the proportion of chocolate chip cookies sold matches the baker's standard distribution, and they want to see if there is a linear relationship between a cookie's weight in grams (x) and its price in dollars (y).

If they perform a Chi-Square Goodness-of-Fit Test for the flavors and a Linear Regression t-test for the weights, what are the appropriate null hypotheses for both tests?
  • Chi-Square (Ho): The distribution of cookie flavors sold matches the baker's standard claimed distribution (there is no difference in the proportions).
  • Regression t-test (Ho): There is no linear relationship between the weight of a cookie and its price.
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